Rethinking Incarcerated Women's Leisure as Subjected to Coercive and Normative Prison Missions
Bibliographic record
Abstract
Leisure is commonly understood as contributing to well-being; this is especially appealing when considering multiply marginalized populations such as incarcerated women. However, leisure is not impervious to cooptation by less benevolent social processes. In this conceptual analysis, I argue that incarcerated women's leisure must be rethought as a component of its environment and by extension, as subjected to coercive and normative prison missions. After broadly delineating incarcerated women's leisure, I determine that some characteristics of leisure can be compatible with these prison missions. I then examine individual, organizational, and social benefits and issues with leisure in women's prisons. I link these practices to reduced coerciveness and increased normativity. I conclude by suggesting that ensuring incarcerated people's well-being through leisure is not in itself an end, but a means to achieve prison's coercive and normative ends. I discuss implications for scholars, practitioners, and advocates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".